Learning Assistant MCP Server

Learning Assistant MCP Server

Provides educational tools for developers to learn programming concepts, review code, get best practices, compare approaches, generate learning paths, debug, explain code, and quiz themselves.

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README

Learning Assistant MCP Server 🎓

An educational MCP (Model Context Protocol) server that helps developers learn, understand code, and improve their programming skills through AI-powered tools.

Features 🚀

This MCP server provides 8 powerful learning tools:

  1. explainConcept - Get simple explanations of programming concepts with examples
  2. reviewCode - Get constructive feedback on your code with improvement suggestions
  3. suggestBestPractice - Learn industry best practices for any programming task
  4. compareApproaches - Compare different solutions and understand tradeoffs
  5. generateLearningPath - Get a structured roadmap to learn any technology
  6. debugHelper - Understand and fix errors with guided debugging help
  7. explainThisCode - Get detailed explanations of how code works
  8. quizMe - Test your knowledge with auto-generated practice questions

Installation 📦

Prerequisites

  • Node.js 18.0.0 or higher
  • Cursor IDE or any MCP-compatible client

Setup

  1. Clone this repository:
git clone https://github.com/YOUR_USERNAME/learning-assistant-mcp.git
cd learning-assistant-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Configure your MCP client (e.g., Cursor IDE):

Add to your ~/.cursor/mcp.json:

{
  "mcpServers": {
    "learning-assistant": {
      "command": "node",
      "args": [
        "/absolute/path/to/learning-assistant-mcp/dist/index.js"
      ]
    }
  }
}

Replace /absolute/path/to/learning-assistant-mcp with the actual path where you cloned the repository.

  1. Restart Cursor IDE

Usage 💡

Once installed, you can use the tools in Cursor Chat:

Example Prompts

  • "Explain what closures are in JavaScript for a beginner"
  • "Review this code and suggest improvements"
  • "What are the best practices for error handling in React?"
  • "Compare REST API vs GraphQL"
  • "Create a learning path to master TypeScript"
  • "Help me debug this error: Cannot read property 'map' of undefined"
  • "Explain what this regex pattern does: /^[a-z]+$/i"
  • "Quiz me on JavaScript async/await with 5 questions"

Development 🛠️

# Run in development mode
npm run dev

# Build TypeScript
npm run build

# Run the built server
npm start

Project Structure 📁

learning-assistant-mcp/
├── src/
│   └── index.ts          # Main server implementation
├── dist/                 # Compiled JavaScript (generated)
├── package.json
├── tsconfig.json
└── README.md

Tools Reference 📚

explainConcept

Explains programming concepts in beginner-friendly terms.

Parameters:

  • concept (string): The concept to explain
  • level (optional): "beginner" | "intermediate" | "advanced"
  • language (optional): Programming language context

reviewCode

Reviews code and provides constructive feedback.

Parameters:

  • code (string): Code to review
  • language (string): Programming language
  • context (optional): What the code should do
  • focusAreas (optional): Array of focus areas

suggestBestPractice

Suggests best practices for programming tasks.

Parameters:

  • task (string): The task or area
  • technology (optional): Specific framework/library
  • currentApproach (optional): Your current approach

compareApproaches

Compares different programming approaches.

Parameters:

  • problem (string): The problem to solve
  • approaches (array): List of approaches to compare
  • criteria (optional): Comparison criteria

generateLearningPath

Creates structured learning roadmaps.

Parameters:

  • topic (string): What to learn
  • currentLevel: Your current level
  • goalLevel: Target proficiency
  • timeCommitment (optional): Available time

debugHelper

Helps debug errors and bugs.

Parameters:

  • error (string): Error message or bug description
  • code (optional): Relevant code
  • language (optional): Programming language
  • context (optional): What you were doing

explainThisCode

Provides detailed code explanations.

Parameters:

  • code (string): Code to explain
  • language (string): Programming language
  • detailLevel (optional): "overview" | "detailed" | "line-by-line"

quizMe

Generates practice questions.

Parameters:

  • topic (string): Topic to quiz on
  • difficulty (optional): "easy" | "medium" | "hard"
  • questionCount (optional): Number of questions (1-10)
  • questionType (optional): Type of questions

Contributing 🤝

Contributions are welcome! Please feel free to submit a Pull Request.

License 📄

MIT License - see LICENSE file for details

Author ✨

Muhammad Yasir Khan

Support 💬

If you have questions or need help, please open an issue on GitHub.

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